Bayesian Forecast Evaluation

Bayesian Forecast Evaluation is a formal statistical framework belonging to the class of forecast evaluation methodologies, distinguished by its incorporation of Bayesian inference principles to update probabilistic forecasts and assess their accuracy through posterior predictive distributions and model evidence.

114

Publications

7.2K

Citations

247

Authors

181

Institutions

Publications per year

2017–2026

27

Variants

Bayesian Forecast Evaluations

Authors

247

  1. GA
    Gianni Amisano

    University of Brescia, Italy

    4 publications · 550 citations

    4

    h-index

  2. JG
    John Geweke

    University of Technology Sydney, Australia

    4 publications · 550 citations

    4

    h-index

  3. JH
    Jonathan H. Wright

    Johns Hopkins University, United States

    2 publications · 233 citations

    2

    h-index

  4. JP
    James P. LeSage

    Texas State University, United States

    2 publications · 30 citations

    2

    h-index

  5. TL
    Thordis L. Thorarinsdottir

    Norwegian Computing Center, Norway

    2 publications · 37 citations

    2

    h-index

1–5 of 247

Venues

  1. SSRN Electronic Journal

    Repository · 11 publications · 685 citations

    11

    h-index

  2. International Journal of Forecasting

    11 publications · 950 citations

    11

    h-index

  3. Journal of Forecasting

    7 publications · 402 citations

    7

    h-index

  4. American Journal of Agricultural Economics

    4 publications · 91 citations

    4

    h-index

  5. 3

    h-index

1–5